Search Results for "domain"
Sort By:
1591 projects for "domain" with 1 filter applied:
-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
-
1
Domain Digger
Domain analysis toolkit for DNS, IP, and WHOIS lookups
Domain Digger is an open source toolkit designed to help users analyze and explore domain-related information in a structured and visual way. It provides a centralized interface for investigating various technical details associated with a domain, including DNS records, IP information, and WHOIS data. By combining several domain intelligence features into a single platform, it simplifies the process of gathering and understanding domain infrastructure details. ... -
2
v2ray-rules-dat
V2Ray routing rules file enhanced version, which can replace V2Ray
v2ray-rules-dat is a repository that compiles and distributes enhanced rule data (domain lists, geo-IP/geo-domain data, block/proxy/detect lists) intended for use with tools like V2Ray, Xray-core, and similar network/proxy frameworks. The dataset serves as an alternative or supplement to official geoip/ geosite data files, often providing more up-to-date, community-curated entries — enabling better routing, blocking, or traffic management when using those proxy tools. ... -
3
Surge-rules
The Surge rule set (DOMAIN-SET and RULE-SET) for the Surge for iOS
Surge-rules is a project devoted to maintaining and distributing rule sets compatible with the Surge proxy application (for macOS/iOS), intended for domain- or routing-based traffic management. Instead of manually building or maintaining Surge configuration files, users can rely on this repo to obtain up-to-date “RULE-SET” or “DOMAIN-SET” configurations that reflect community-curated lists of domains/IPs for direct access, proxying, blocking, or custom routing. Because network and domain landscapes shift over time — with new domains added, blocked, or repurposed — surge-rules offers a streamlined, shared resource so users don’t have to rebuild their rule sets from scratch. ... -
4
ClatScope
OSINT reconnaissance tool for IP, domain, email, and username lookups
...It operates through a menu-driven command line interface that allows users to choose from many reconnaissance functions and receive formatted results directly in the terminal. ClatScope supports dozens of OSINT operations, including domain analysis, breach checks, and account discovery. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
5
Transfer Learning Repo
Transfer learning / domain adaptation / domain generalization
Transfer Learning Repo is an open-source repository that compiles resources, code implementations, and academic references related to transfer learning and its related research areas. The project functions as a large knowledge hub that organizes papers, tutorials, datasets, and software implementations across topics such as domain adaptation, domain generalization, multi-task learning, and few-shot learning. The repository includes surveys and theoretical explanations that help readers understand how transfer learning methods allow models trained in one domain to adapt to new tasks or datasets. In addition to academic references, the project provides practical code implementations of many transfer learning algorithms so that researchers can reproduce experiments or build their own applications. ... -
6
Marketing Skills for Claude Code
Marketing skills for Claude Code and AI agents
...Each skill in the repository is expressed as a Markdown file that encapsulates specific marketing frameworks, workflows, and context, enabling AI agents to recognize and execute domain-targeted tasks like “analytics-tracking” setup, “seo-audit,” conversion testing plans, launch strategies, email sequence creation, and more. By incorporating these skills into an AI environment, you turn a general-purpose coding assistant into a context-aware marketing collaborator that can apply discipline-specific logic rather than generic responses. -
7
dnstwist
Detects phishing and lookalike domains using DNS fuzzing techniques
dnstwist is an open source cybersecurity tool designed to identify malicious or suspicious domain names that imitate legitimate websites. It works by generating a large set of domain name permutations based on a target domain and analyzing whether any of those variants are actively registered or used. These permutations simulate common techniques used in phishing attacks, typosquatting, and brand impersonation campaigns. Security teams can use the tool to discover potential threats where attackers attempt to deceive users with lookalike domains. dnstwist also helps detect phishing activity by comparing web page content and visual similarity between domains using fuzzy hashing and perceptual hashing techniques. ... -
8
Axon Framework
Framework for Evolutionary Message-Driven Microservices on the JVM
...Axon includes both a programming model as well as specialized infrastructure to provide enterprise-ready operational support for the programming model - especially for scaling and distributing mission-critical business applications. Axon is composed of the following concepts and products. Domain-Driven Design (DDD) defines many concepts and patterns that help design software effectively, in line with the business requirements. Axon separates infrastructural concerns from the domain logic, which, combined with DDD best practices, keeps complexity to a minimum. Event Sourcing is a pattern for data storage, where instead of storing the current state of any entity, all past changes to that state are stored. -
9
WhisperJAV
Uses Qwen3-ASR, local LLM, Whisper, TEN-VAD
...WhisperJAV introduces a specialized pipeline that separates text generation from timestamp alignment, allowing the system to generate transcripts and then align them with audio using forced alignment techniques. The framework supports several speech recognition models, including Qwen-based ASR systems and fine-tuned Whisper models trained on domain-specific dialogue. -
10
FinGLM
Committed to building an open, public welfare
FinGLM is an open-source financial large language model initiative aimed at advancing artificial intelligence applications within the finance industry. The project focuses on developing domain-specific language models that understand financial terminology, corporate reports, and economic datasets. By combining large language model architectures with financial datasets such as corporate annual reports and structured financial records, FinGLM aims to improve AI performance on tasks that require domain expertise. The repository also provides educational materials and tutorials that help developers learn how to build and fine-tune financial AI systems using the GLM model ecosystem. ... -
11
PentestGPT
Automated Penetration Testing Agentic Framework Powered by LLMs
PentestGPT is an AI-powered autonomous penetration testing agent designed to perform intelligent, end-to-end security assessments using large language models. Published at USENIX Security 2024, it combines advanced reasoning with an agentic workflow to automate tasks traditionally handled by human pentesters. The platform supports multiple penetration testing categories, including web security, cryptography, reversing, forensics, privilege escalation, and binary exploitation. PentestGPT runs... -
12
Mangle
Go library for Datalog-style logical reasoning and domain modeling
Mangle is a programming language developed by Google for deductive database programming, serving as an advanced extension of Datalog. It is designed to unify and query data from multiple sources in a structured, declarative way while allowing developers to model complex relationships and domain knowledge beyond binary predicates. Mangle enhances traditional Datalog by introducing features such as aggregation, function calls, and optional type-checking, which make it more practical for modern data-intensive applications. Unlike SQL, Mangle’s declarative syntax naturally supports recursion and modular program structure, making it suitable for representing hierarchical or interconnected datasets like dependency graphs or knowledge graphs. ... -
13
Huatuo-Llama-Med-Chinese
Instruction-tuning LLM with Chinese Medical Knowledge
...The goal of the project is to improve the reliability and domain expertise of language models when answering medical questions or assisting with healthcare-related tasks. By combining domain-specific training data with instruction-tuning techniques, the project produces models capable of generating more accurate medical responses than general-purpose models. -
14
Learn Claude Code
Bash is all you need, write a claude code with only 16 line code
...It emphasizes a hands-on learning path where each version (from v0 to v4) adds conceptual building blocks like the core agent loop, todo planning, task decomposition, and domain knowledge skills, illuminating the patterns behind what makes a true AI agent tick. The goal is to demystify agent architectures like Claude Code by having learners build simplified versions themselves and observe how tools, memory management, planning constraints, and context isolation contribute to reliable agent behavior. Along the way, the project teaches fundamentals such as how to let models call external tools, maintain clean memory for long tasks, and inject domain expertise without retraining the model. -
15
OpenClaw Medical Skills
The largest open-source medical AI skills library for OpenClaw
OpenClaw-Medical-Skills is an open-source library that provides a large collection of specialized medical capabilities designed for the OpenClaw AI agent ecosystem. The project organizes domain-specific “skills” that enable autonomous agents to perform tasks related to biomedical research, healthcare analysis, and clinical data interpretation. Each skill is packaged as a modular component that can be integrated into an OpenClaw-based AI assistant, allowing the agent to perform expert-level reasoning and workflows in medical contexts. ... -
16
clash-rules
Clash Premium rule set (RULE-SET), compatible with ClashX Pro
clash-rules is a repository that provides rule sets and configuration files designed for proxy tools and systems like V2Ray / Clash — helping users to decide routing, blocking, or proxy behavior based on domain, IP, or other criteria. The repo aggregates many community-maintained lists: blocked domains, direct access lists, proxy-needed domains, geo-IP lists, and more — offering up-to-date and curated configuration data that reflects network conditions, censorship lists, or desirable routing policies. For users of proxy tools or privacy/VPN systems, having such rule lists saves the manual effort of compiling blacklists, whitelists, or routing rules, and helps ensure more reliable, consistent routing and access. ... -
17
AI-Crawler
Crawl a website starting from a URL, find relevant pages
...Unlike traditional web scrapers that rely on static selectors and manual scripting, it uses AI to dynamically identify and prioritize pages based on user intent, making it more flexible and resilient to changes in website structure. Users can define their data requirements in plain English, and the system will interpret those instructions to crawl a domain and extract structured data. The tool supports output formats such as JSON and Markdown, and it can generate or accept schemas to ensure that extracted data is structured according to application needs. It is designed as a low-code solution, reducing the complexity of building and maintaining custom scraping pipelines. -
18
Harness
A meta-skill that designs domain-specific agent teams
Harness is a meta-skill framework designed to automate the creation and orchestration of domain-specific AI agent teams within Claude Code environments. Instead of manually defining agents and their behaviors, it generates specialized agents, assigns them roles, and produces the skills they need to execute tasks effectively. The system focuses on scaling agent-based workflows by dynamically assembling teams tailored to specific problems. -
19
SmartEnum
A base class for creating strongly typed enum replacements in C#
...Overall, SmartEnum helps teams write more maintainable and intention-revealing domain code by replacing brittle primitive enums with extensible types. -
20
Hugging Face Skills
Definitions for AI/ML tasks like dataset creation
...The project is designed to be interoperable across major agent ecosystems, including Claude Code, OpenAI Codex, Gemini CLI, and Cursor, making it a cross-platform building block for agent automation. By formalizing best practices and workflows, Skills helps transform general-purpose coding agents into domain-aware assistants that can execute complex ML pipelines with less manual prompting. The repository also includes ready-to-use skills for common Hugging Face operations and encourages teams to extend them with custom domain logic. -
21
Addy
Anonymous email forwarding
...Instead of giving out their real email address when signing up for services, users can create descriptive or random alias addresses that disguise their identity and keep their inbox clean by deactivating or deleting any alias that starts receiving unwanted emails. This service supports both standard aliases that can be created on the fly and pre-generated shared domain aliases, and self-hosters can also configure custom domains to use their own email domain for aliasing. AnonAddy allows encrypted forwarding using GPG/OpenPGP for enhanced privacy, making it especially attractive for security-conscious users who want to minimize metadata leakage. -
22
SiteDorks
Automate search engine dorking across hundreds of websites
...A built-in dataset contains hundreds of websites grouped into categories such as cloud services, developer platforms, documentation sites, social platforms, and communication tools. Users can also supply custom domain lists or CSV files to tailor searches for tasks like penetration testing, bug bounty research, or OSINT investigations. -
23
LLM Datasets
Curated list of datasets and tools for post-training
...The repository aims to make datasets easy to inspect and transform, with scripts for downloading, deduping, cleaning, and converting to formats like JSONL that slot into training pipelines. It highlights instruction-tuning and conversation-style corpora while also pointing to code, math, or domain-specific sets for targeted capabilities. Quality is a recurring theme: examples and utilities help filter low-value samples, enforce length limits, and split train/validation consistently so results are comparable. Licensing and provenance are surfaced to encourage compliant usage and to guide dataset selection in commercial settings. ... -
24
ASNmap
CLI tool for mapping organization network ranges using ASN data
asnmap is a command line tool and Go library designed to quickly map network ranges belonging to organizations using Autonomous System Number (ASN) data. It allows users to convert different types of inputs (such as ASN numbers, IP addresses, domain names, or organization names) into their associated CIDR ranges. This capability makes it particularly useful for security researchers, penetration testers, and reconnaissance workflows that require identifying network infrastructure owned by a target organization. asnmap retrieves ASN-related data and returns structured results that can be easily integrated into automated pipelines. ... -
25
Exclusively Dark Image Dataset
ExDARK dataset is the largest collection of low-light images
...The dataset was created to address the lack of large-scale low-light datasets available for research in object detection, recognition, and enhancement. It has been widely used in studies of low-light image enhancement, deep learning approaches, and domain adaptation for vision models. Researchers can also explore its associated source code for low-light image enhancement tasks, making it an essential resource for advancing work in night-time and low-light visual recognition.
